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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

PartiQL extends SQL in a manner that is straightforward, allowing nested data to be treated as integral components and enabling a smooth integration with SQL itself. This capability facilitates intuitive operations such as filtering, joining, and aggregating various types of data, including structured, semistructured, and nested datasets. By decoupling the syntax and semantics of queries from the actual data format or storage system, PartiQL provides a cohesive querying experience across diverse data stores and formats. It empowers users to engage with data irrespective of the presence of a standard schema. Additionally, the components of PartiQL—including its syntax, semantics, embedded reference interpreter, command-line interface, testing framework, and associated tests—are distributed under the Apache License, version 2.0. This licensing grants users the freedom to use, modify, and share their contributions while adhering to their preferred terms. Thus, the overall design of PartiQL enhances accessibility and flexibility in data management across various platforms.

Description

To address the challenges posed by sparse data, the Raijin Database adopts a flat JSON format for its data records. This database primarily utilizes SQL for querying while overcoming some of SQL's inherent restrictions. By employing data compression techniques, it not only conserves disk space but also enhances performance, particularly with contemporary CPU architectures. Many NoSQL options fall short in efficiently handling analytical queries or completely lack this functionality. However, Raijin DB facilitates group by operations and aggregations through standard SQL syntax. Its vectorized execution combined with cache-optimized algorithms enables the processing of substantial datasets effectively. Additionally, with the support of advanced SIMD instructions (SSE2/AVX2) and a modern hybrid columnar storage mechanism, it prevents CPU cycles from being wasted. Consequently, this results in exceptional data processing capabilities that outperform many alternatives, particularly those developed in higher-level or interpreted programming languages that struggle with large data volumes. This efficiency positions Raijin DB as a powerful solution for users needing to analyze and manipulate extensive datasets rapidly and effectively.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS IoT
Amazon DynamoDB
Amazon Quantum Ledger Database (QLDB)
Amazon Redshift
NXLog
SQLAI.ai

Integrations

AWS IoT
Amazon DynamoDB
Amazon Quantum Ledger Database (QLDB)
Amazon Redshift
NXLog
SQLAI.ai

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

PartiQL

Website

partiql.org

Vendor Details

Company Name

RAIJINDB

Country

Hungary

Website

www.raijindb.com

Product Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

Product Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

Alternatives

Alternatives

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